Channel
@penguin_never_die
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
5,580subscribers
+27 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1003457890429 |
|---|---|
| Type | Channel |
| Username | @penguin_never_die |
| Created | Between 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/penguin_never_die |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 05:16 | 5,580 | +16 |
| 10 Aug 2026, 01:31 | 5,564 | +11 |
| 7 Aug 2026, 02:51 | 5,553 | no change |
| 6 Aug 2026, 20:05 | 5,553 | first reading |
5 posts held, back to 3 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 5 (3 July 2026 – 4 August 2026) |
| Views total | 7,710 |
| Reactions total | 10 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 04:07 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
14 reactions across 5 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 100.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 5 of the 5 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 3 July 2026 to 4 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🎰 【上海栖心地】 西西 @xixi8884 白嫖福利 📮 参与条件： 🪪 必须设置用户名 🎫 加入-夢遊日記2.0 🎫 加入-🌸西西🌸的频道🏆 🎫 加入-上海栖心地备用群 🎫 加入-上海栖心地 └ 🎟️ 发言数大于 888 条 🎫 加入-上海栖心地报告区 🎫 加入-上海栖心地榜单 🎁 奖品内容： 💰️ 白嫖P（72h内cj，并出报告，不出报告群组拉黑） × 1 ⚠️ 抽奖说明： 最终解释权归老师本人所有 🔋 人品加成：⚡️× 9 规则 📅 开奖日期：(北京时间) 2026年09月01日 12时00分00秒
❤1
🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号：H178291422379 🎰 【上海栖心地】 嘉嘉 @yyyxmxm 白嫖福利 ⚠️ 抽奖说明： 最终解释权归老师本人所有 💁 参与情况：66达标 / 199报名 🔋 人品加成：159票 ⚡️× 9 🎅 联系领奖：@yyyxmxm 1. 大耳朵图图⚡️× 5 奖品：白嫖P（72h内cj，并出报告，不出报告群组拉黑） 祝大家心想事成好运连连！
❤1
#汐汐 @ReneHart2012 (图七） #米米 @x87679437 （图三） 【验证时间】：2026/7 【修车水费】：2500pp 双飞 【颜值照片相似度】：汐汐90% 米米92% 【身材照片相似度】：汐汐95% 米米91% 【开课环境】：离地铁站较远，小区环境挺新，课室宽敞，有一次性浴巾与漱口水 【MBTI】：汐汐小e，比较主动，米米小i，但比较会眼神对视，很有感 犹豫就会留下遗憾，汐汐米米的双飞，一上榜果断约了隔天 进门就是两个美女的热情迎接，被汐汐牵着手到沙发坐下，米米去拿饮料，一左一右被拥簇着，一下不知道看哪一边，有点慌哈哈，两姐妹各有特色，汐 汐比较活泼随时散发年轻的获利，米米只要对到眼就会笑，眼睛很美笑容很迷人很难让人移开视线，不是客套，真得是平分秋色，各有特点，不会让人只想关注一个 真正的鸳鸯浴开始了，汐汐很认真的试水温，一个在前面抱着舌吻，一个 在背后胸推，我把自己翻个面，胸推臀推素股水中…
❤5
#周星瑶 @zhouxingyao1 【验证时间】：2026/6 【修车水费】：800P 1500pp 【颜值照片相似度】：68% 【身材照片相似度】：85% 【开课环境】：长宁老小区，市中心位置不错，可惜隔音不好，有一次性浴巾、床单、漱口水 【MBTI】：小I人，还算好聊 老师小头小脸的，皮肤属于黑底的，身材偏瘦属于小巧型，腰腹平坦，身高虽不高，但腿长比例好，又直又细，人也很好聊，不冷场，邻家妹妹型相处自然舒服 事前事后帮洗帮擦很仔细，陪浴时长久，有浴中舌吻，整体清洁很细心，有臀推胸推，需主动询问，因担心妆化所以无水中萧，大蟒蛇很厉害，主动索吻型，三点口加舔蛋，时长足，会有眼神对视，下往上看是全场最佳视角 特别表扬屌感，非常紧，阻尼感与紧缩感全程强，全程包裹感爽，爱爱配合度高，也沉浸享受当中，过程相当融洽，一点点的情绪鼓励恰到好处，主动索吻吻不停，是很舒畅的一发 综合加成 805/ 10 = 80.5 推荐程度 A…
❤3
#利利LiLi @Lilishsh1 【验证时间】：2026/6 【修车水费】：1200P / 1800PP 【颜值照片相似度】：88% 【身材照片相似度】：95% 【开课环境】：长宁电梯小区，地铁站近，有门禁楼禁，室内宽敞，有一次性浴巾、床单、漱口水 【MBTI】：轻声细语的温柔小e人 小区环境挺舒服的，安全性很高，走进来挺有安全感 进门170大长腿配上高跟鞋爆击，面相很柔和，整个人气质很好，瀑布般的长发，环境喷过香水，很舒服，第一印象就很好 老师说话很温柔，音色也挺好听的，相处起来如沐春风的感觉，一边聊着一边被引领至浴室，去过最大的浴室，干净明亮！老师yyy很仔细，教了一些胸推素股也很愿意学，表示之后会加进课表里，洗的很久，帮擦仔细 回床正课依旧发挥稳定，配合度高，舌吻随时有，很舒服完整的一堂课！ 老师刚从澳门来上海开课，服务精神没话说，TG经验不多，气质良好，温柔敬业，配合度高，值得复刷 综合加成 853/ 10…
❤4
Showing the 5 most recent of 5 posts we hold for @penguin_never_die. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 618,767 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 9 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this entry's latest reading, not the date you are reading this.
“夢遊日記2.0” (@penguin_never_die), 5,580 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/penguin_never_die.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.